Job Description
Computer Vision Engineer
Posting Date: 08/05/2026
Country: Italy
Location: Milan
Function: Manufacturing
Experience: 1 - 3 years
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DISCOVER PIRELLI
We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people!
WHY JOIN US
We are offering a rewarding role with scope for career progression along with:
International, engaging, and supportive working environment
Global onboarding process
Bespoke training and development programs accessible to all
International mobility opportunities
DRIVE YOUR FUTURE
Pirelli is seeking a qualified candidate for the position of Computer Vision Engineer. This role is strategic for improving and optimising business operations and production processes. The successful candidate will contribute directly to the implementation of advanced artificial vision solutions, with the aim of enhancing the efficiency, quality and sustainability of Pirelli’s production activities.
YOUR CORE ACTIVITIES
Communication and dissemination of results and technological advancements to both internal and external stakeholders, to foster a shared understanding of the solutions adopted
Design and development of advanced models, with a focus on computer vision applications aimed at improving production processes
Cross-functional collaboration with various departments, aimed at integrating artificial intelligence solutions into industrial processes and finished products
In-depth analysis of complex and diverse datasets to identify opportunities for optimising quality and efficiency within the manufacturing context
WHAT WE ARE LOOKING FOR
Master’s degree in Computer Science or related fields
Fluency in English
Hands-on experience in Computer Vision applications, including object detection, image segmentation, and anomaly detection on real-world and industrial datasets
2+ years of experience in developing and optimizing d Deep Learning models, with solid understanding of neural network architectures (CNNs, Transformers) and training, validation, and hyperparameter tuning techniques
Proven ability to design and deliver end-to-end solutions, from data collection and preprocessing to deployment, monitoring, and continuous improvement in production environments, thorough advanced algorhitms, ML and neural networks
Strong knowledge of MLOps practices, including CI/CD pipelines for Machine Learning (GitLab CI), model versioning, automated testing, and performance monitoring
WHAT PUTS YOU IN POLE POSITION
Experience with cloud platforms (AWS, preferred) and scalable ML infrastructure
Knowledge of multimodal models integrating visual and non-visual data
Experience with Generative AI models and fine-tuning techniques
Experience with edge deployment or embedded systems
PhD in Computer Science or related field
COMPENSATION PACKAGE
The employment contract will be regulated by “Gomma Plastica” National Collective Bargaining Agreement
The gross annual base salary (RAL) offered will be no less than € 35.000
The Company is committed to offering a competitive compensation package and, following the selection process, may propose a final gross annual base salary above the stated level, commensurate with the candidate’s experience, skills, and qualifications
The position’s compensation package also includes a variable component and a competitive welfare and benefits offer. Further details will be provided at a later stage and will be subject to the applicable Company policies.
, DRIVE YOUR FUTURE!
#WePirelli
We are an equal opportunity employer and this search is open to all individuals, in compliance with the principles of equal opportunity and non-discrimination, pursuant to applicable laws and regulations
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